Predictions underlie nearly every aspect of our lives, from sports, politics, and medical decisions to the morning commute. With the explosion of digital technology, the internet, and 'big data,' the science of forecasting is flourishing. But why do some predictions succeed spectacularly while others fail abysmally? And how can we find meaningful patterns amidst chaos and uncertainty? From the glitz of casinos and TV game shows to the life-and-death stakes of storm forecasts and the flaws of opinion polls that can swing an election, 'Prediction by the Numbers' explores stories of statistics in action. Yet advances in machine learning and big data models that increasingly rule our lives are also posing big, disturbing questions. How much should we trust predictions made by algorithms when we don't understand how they arrive at them? And how far ahead can we really forecast?
Putin's new law that forbids 'propaganda of non-traditional sexual relations to minors' hits millions of gay/lesbian youngsters in Russia. Parents and friends of gay kids now are obliged to tell them they are sick, sinful and abnormal. These teens have no forum, find no help in Russia, you won't even find them on the internet: Error 404. For the first time, the bravest of them turn to the camera in the new film of 'Winter Go Away'
A featured documentary that explores the rise of a new Internet. Decentralized, encrypted, dangerous and beyond the law. The Deep Web, also called the Deep Net, Invisible Web, or Hidden Web is the part of the World Wide Web not indexed by search engines. The deep web was several orders of magnitude larger than the surface web. The majority of the information is hidden or locked inside databases and is growing exponentially at a rate that cannot be quantified. In 2008, to facilitate users of Tor hidden services in their access and search of a hidden .onion suffix, Aaron Swartz designed Tor2web, a proxy application able to provide access by means of common web browsers. Using this application, deep web links appear as a random string of letters followed by the .onion TLD.
Lurking in the shadows of the Internet, a faceless modern-day bogeyman has attracted the attention and fear of a young generation who whisper his name online. Slenderman lives on the dark pages of the web, where impressionable youth create and cultivate his mythos in message boards, YouTube clips and various other digital incantations. But the online fairy tale becomes a shocking real-life horror as two 12-year-old girls, guided by their devotion to Slenderman, lure their friend into the woods to attempt a seemingly inexplicable, brutal murder. From the depths of one the Internet's most unsettling creations to the court case that must consider the consequences, Beware the Slenderman brings to light questions of accountability in an age where young, growing minds are only a few clicks away from creating and consuming something that may influence them to commit unspeakable crimes.
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